Emotional Intelligence Research Articles

Neuroscientific Perspectives on Emotional Intelligence and Self-Regulation in Individual Sports

<p dir="ltr"><span>Sports achievements in contemporary conditions rely not only on physical training but also on integrating innovative psychological training methods. This article aims to analyse the connection between emotional intelligence levels and self-regulation skills in athletes engaged in individual sports. A correlational research design was employed, making it ideal for examining the relationship between emotional intelligence and self-regulation in individual sports. This approach allowed for the analysis of real sports scenarios, using statistical tools to summarise empirical findings, and applying comparison methods to highlight differences. Findings reveal that athletes in individual sports generally exhibit average emotional intelligence, reflecting moderate adaptability to extreme professional situations. The highest levels of emotional intelligence are observed in gymnasts and martial arts practitioners. Athletes in tennis and swimming demonstrate average levels. Those engaged in karate and swimming display superior emotional awareness and empathy. The data also confirm that emotional intelligence is a critical predictor for self-regulation under stress. Key components of emotional intelligence include emotional awareness, stress management, and adaptability. Practical applications for enhancing emotional intelligence involve developing specialized programs, providing individual psychological support, and integrating psycho-emotional training with general athletic programs.</span></p><p dir="ltr"><span>In conclusion, the study underscores the importance of fostering psychologically resilient environments to enable athletes to achieve their goals effectively.</span></p>

Exploring the effects of artificial intelligence on student and academic well-being in higher education: a mini-review

The increasing use of artificial intelligence (AI) in higher education is reshaping how students engage with their academic and personal lives. However, the impact of AI on students’ well-being remains underexplored. This mini-review synthesizes current literature to assess how AI affects student well-being, focusing on mental health, social interactions, and academic experiences. While AI offers benefits such as personalized learning, mental health support, and improved communication efficiency, it also raises concerns regarding digital fatigue, loneliness, technostress, and reduced face-to-face interactions. Over-reliance on AI may diminish interpersonal skills and emotional intelligence, leading to social isolation and anxiety. Furthermore, issues such as data privacy and job displacement emerge as AI technologies permeate educational environments. The review highlights the need for balanced AI integration that supports both academic success and student well-being, advocating for further empirical studies to comprehensively understand these dynamics. As AI becomes more embedded in education, it is crucial to develop strategies that mitigate its negative effects while promoting holistic well-being among students.

A Qualitative Study of Competencies of Coaches That Predict Client Behavior Change

Coaching's rapid growth has increased pressure to have effective coaches. The competency models currently used for training and certification are based on opinion surveys. In management, such a process for developing competency models has been shown to confuse standards of excellence with prejudicial fads. This study examined competencies demonstrated in critical incident work samples of coaching by more effective and less effective coaches as measured by client behavioral change over 2 years. Effective coaches more frequently demonstrated the competencies of achievement orientation, empathy, emotional self-awareness, and coaching and mentoring as well as the total number of emotional and social intelligence competencies shown by a coach as compared to their less effective counterparts. More effective coaches discussed more role differentiation as a coach from other related roles as compared to less effective coaches. Implications for future research and practice in coach training and certification are discussed.

A Review on Smart Mirror with Emotion Monitoring

This paper presents the survey of a Smart Mirror with Emotion Monitoring, which integrates advanced technologies like facial recognition and deep learning to enhance user interaction and mental well-being. The system detects facial features and classify emotions such as happiness and sadness in real time. Based on the detected emotions, the mirror provides personalized feedback, such as motivational quotes or cheerful messages, also displays daily essentials like time, weather, and calendar updates. By combining emotional intelligence with traditional functionalities, the smart mirror offers a versatile solution for home, healthcare, and commercial applications, making it an innovative tool for promoting emotional and functional support in everyday life. Key Words: Smart Mirror, Emotion Monitoring, Artificial Intelligence, IoT.

Sentiment and Emotion Modeling in Text-based Conversations utilizing ChatGPT

Emotional Intelligence (EI) constitutes a vital element of human communication, and its integration into text-based dialogues has gained great significance in the modern digital era. The present paper proposes an innovative method for modeling sentiment and emotion within text-based conversations using the ChatGPT language model. The advancements in sentiment and emotion recognition are centered on the role of EI in text-based conversational models. The study underscores the significance of diverse datasets, including Interactive Emotional Dyadic Motion Capture (IEMOCAP), MELD, EMORYNLP, and DAILYDIALOG, for training and evaluating emotion detection algorithms. IEMOCAP and MELD offer detailed emotional annotations, EMORYNLP emphasizes sensitive dialogue scenarios, and DAILYDIALOG encompasses a wide range of everyday interactions, providing distinct advantages for capturing emotional subtleties. The proficiency of different emotion categorization models, including ChatGPT and models with four levels of detail, is demonstrated through their capacity to understand and respond to emotions aptly. The crucial role of conversational AI with sophisticated EI in fostering empathy and context-sensitive interactions is emphasized.

Parenting style and emotional intelligence as the predictors of academic buoyancy among the senior secondary students

Parenting style and emotional intelligence as the predictors of academic buoyancy among the senior secondary students

Emotional intelligence as a predictor of functional outcomes in psychotic disorders.

Psychotic disorders are associated with significant impairment in psychosocial functioning, yet mechanisms associated with this impairment remain poorly understood. Emotional intelligence, a component of social cognition, is associated with psychosocial functioning in this population. However, prior work has used relatively small samples, reported inconsistent relations between functioning domains and emotional intelligence, and inconsistently considered negative symptoms. To address these limitations, we examined the predictive ability of emotional intelligence on functional outcomes using a five-year longitudinal design. We used a large sample of individuals with and without psychotic disorder diagnoses (N=324), a performance-based measure of emotional intelligence, and three measures of functioning (i.e., social performance, assessor-rated social and occupational functioning, self-rated functioning in independent living). Results revealed individuals diagnosed with a psychotic disorder have lower emotional intelligence than those without a history of psychosis. Emotional intelligence was associated with social performance and social and occupational functioning in both those with and without a history of psychosis. In those diagnosed with a psychotic disorder, emotional intelligence and negative symptoms better predict social performance (βEmotional=0.36, R2delta=0.09) and social and occupational functioning (βEmotional=0.21, R2=0.03), but not self-rated functioning in independent living (βEmotional=-0.08, R2delta=0.00), as compared to negative symptoms alone. Overall, findings support the use of emotional intelligence as a longitudinal predictor of social and occupational outcomes above and beyond negative symptoms alone. This work highlights potential, specific intervention targets for individuals with psychotic disorders.

Therapeutic complaints resolution (‘TCR’) in British ombuds: being emotionally intelligent about relational vulnerabilities

ABSTRACT ‘Therapeutic complaints resolution’ (TCR) is an emerging vision of public sector complaints-handling which is conscious of, and minimises, its anti-therapeutic consequences. TCR emphasises common interests between complainants, complainees and others in improving public services through more consensual dispute resolution processes. Therefore, TCR is perceived as a potential shift to a ‘relational state’, with a focus on fostering trusting relationships between service-users and public sector professionals. This article explores TCR in the context of complaints-handling in British ombuds. Specifically, the article suggests that ‘emotional intelligence’ and ‘relational vulnerabilities’ are two concepts that should guide its development. The article does this by highlighting the emotional risks that co-exist between participants, including vicarious trauma between complainants and caseworkers. At the broader level, there is also a web of vulnerabilities created, sustained, and exacerbated between the various participants through the macro-political decisions of central government, such as over funding, which expose individuals and public sector professionals to more serious risks and emotional contexts. Given these vulnerabilities, the article suggests that emotional intelligence ought to be developed as a professional competency for caseworkers, and illustrates several ways that each component may be useful to make these challenges more tolerable.

Determinants of Problem-Solving Skills of Nursing Students: Solution-Focused Thinking Skills and Emotional Intelligence.

Problem-solving skills are some of the leading strategies for dynamism in the content and quality of nursing care. The present study is aimed at determining nursing students' problem-solving, solution-focused thinking, and emotional intelligence levels and investigating the relationship between their problem-solving skills and these variables. The study comprised 305 nursing students in Turkey. Data were collected between May and June 2021, using the personal information form, problem-solving inventory, solution-focused inventory and Schutte emotional intelligence scale. One-way ANOVA, t-test and multiple regression were used for data analysis. The mean age of the participants was 21.81 ± 5.93 years, 75.7% of them were women, 35.1% were senior students and 58.0% perceived their academic achievement as moderate. The mean scores from the overall problem-solving inventory, solution-focused inventory, and emotional intelligence scale were 92.93 ± 19.30, 50.26 ± 8.43 and 128.22 ± 14.11, respectively. Variables such as sex, perceived academic achievement, emotional intelligence and solution-focused thinking levels affected problem-solving skills (p < 0.01). The effective predictive factors accounted for 50.2% of the change in participants' problem-solving skill levels. For this reason, revising the national nursing curriculum with programmes that develop emotional intelligence and solution-focused thinking skills will enable nursing students to better manage the nursing process in clinical and field practices.

Can Emotionally Intelligent Mental Health Nurse Leaders Influence Workforce Sustainability? A Scoping Review.

Due to a global shortage of nursing staff, there is renewed attention on the impact of leadership and management styles on the sustainability of the nursing workforce. Emotional intelligence (EI), the ability to manage both your own emotions and to perceive and understand the emotions of others, has been implicated as a nursing management style impacting reduced turnover and greater nurse wellbeing. Despite these promising findings, there is a dearth of research on the role of emotionally intelligent leadership on the retention of mental health nurses. This scoping review aimed to (1) explore whether the findings from EI leadership in general nursing settings can be contextualised to mental health nurse leaders and (2) whether emotional intelligent leadership can influence the retention of mental health nurses. We used Arksey and O'Malley's framework to conduct this scoping review, locating 987 papers in our initial search. After screening, 30 papers remained; most methodologies were quantitative (n = 20), followed by qualitative (n = 8) and mixed methods (n = 2). This review found that while this concept has been studied extensively in the general nursing context, there is a lack of research into EI as a leadership style in mental health nursing. Where EI was the dominant leadership style, turnover intention was lower. However, despite showing promise in other settings, because of distinct differences between nursing contexts and workforce characteristics, it is difficult to state that emotionally intelligent leadership would be effective in mental health settings. There is therefore an urgent need identified to explore leadership styles in mental health settings to determine whether they impact retention and turnover, which will have significant implications for organisations, staff and consumers. We recommend that mental health nurse leaders be provided with EI training and education to ensure that they are equipped to provide the necessary support and leadership to sustain and grow the mental health nursing workforce.

Education as a Moral Compass: Ethical Lessons from Mr. Chips’ Life and Career

This study investigates the role of education as a moral compass through the “Model lessons” proposed by the novel, “Goodbye, Mr. Chips”. This paper exemplifies Mr. Chips as ‘Educator’ who, as a teacher and even a human being, embodies the values of fairness, empathy, inclusiveness, emotional intelligence. The qualitative research approach in this paper explores the ethical implications of Mr. Chips’ pedagogical approach and its relevance to our present educational context. The findings illustrate that his comprehensive framework; which balances an academic curriculum with a focus on cultivating moral and emotional wisdom, continues to provide relevant guidance for today’s pressing educational issues, including diversity, equality and student well-being. Mr. Chips’ warm, inclusive, and emotionally intelligent style of teaching continues to be relevant today, as students of all backgrounds are drawn to his example of creating a supportive, ethical classroom environment when they encounter diverse classrooms filled with students who come from different backgrounds. This research teaches us how the ideas of emotional intelligence, ethical leadership, and character education can be put into practice. However, the overall findings indicate that Mr. Chips’ pedagogical and moral legacy provides valuable lessons for educators on how to cultivate well-rounded, empathetic, and socially responsible individuals.

The Impact of Individual Traits on Improving Job Satisfaction Among Manufacturing Workers

This research explores the influence of personal traits on enhancing workplace satisfaction among employees in the manufacturing sector. As organizations strive for increased productivity and improved employee well-being, understanding the factors contributing to job satisfaction becomes crucial. The study identifies key personal attributes such as emotional intelligence, personality type, adaptability, and work ethic, analyzing their impact on job satisfaction, engagement, and overall workplace well-being. Utilizing a combination of surveys and interviews, data was gathered from employees across various manufacturing firms. The findings indicate that personal traits play a significant role in fostering a positive work environment, with emotional intelligence and adaptability being particularly effective in reducing job-related stress and strengthening interpersonal relationships. This research underscores the importance of integrating personal development initiatives into employee training programs to enhance both individual job satisfaction and overall organizational performance. Practical recommendations are provided for managers and HR professionals in manufacturing settings to cultivate a workplace culture that supports employee well-being and long-term success.

Kepemimpinan Yang Mengelola Emosi, Membangun Lingkungan Kerja Yang Sehat Dan Produktif Pada Dinas Lingkungan Hidup Provinsi Banten

Effective leadership in organizations relies heavily on a leader's ability to manage emotions, both in individual and team contexts. This study aims to explore how leadership that is able to manage emotions can build a healthy and productive work environment in the Banten Provincial Environmental Agency. This study used a qualitative approach with in-depth interview techniques and observation of several leaders and staff at the agency. The results showed that leaders who can manage emotions well, such as empathy, self-control, and effective communication, tend to create a more harmonious and supportive work atmosphere. This healthy environment contributes to increased work productivity, employee engagement and overall job satisfaction. This study provides recommendations for leaders in the Banten Provincial Environmental Agency to further develop their emotional intelligence skills to create a culture of emotional intelligence. A more positive and sustainable work environment. From the results of this study, it can be concluded that leadership that manages emotions well plays an important role in creating a healthy and productive work environment at the Banten Provincial Environmental Service. Leaders who have the ability to control their own emotions, empathize, and communicate effectively can build positive relationships with staff and create a conducive work atmosphere. This healthy environment in turn increases employee motivation, job satisfaction and productivity. Therefore, it is important for leaders in the Banten Provincial Environmental Agency to continue to develop their emotional intelligence, both in interactions with the team and in decision-making, in order to achieve optimal performance and sustainability in the organization

Relationship Between Emotional Intelligence and Burnout Among Anesthesia Providers

Relationship Between Emotional Intelligence and Burnout Among Anesthesia Providers

Classification of poetry text into the emotional state using Deep Learning

Poetry can elicit powerful emotions on the basis of elevated language and literary devices, and placing these emotions becomes problematic owing to the subjectivity of human emotions and the complexity entwined in poetic expression. This research puts forward a deep learning-based approach towards automatic classification of poetry into emotions like happiness, sadness, anger, fear, and surprise. The proposed approach also engages advanced NLP techniques that aid in discovering the semantics and emotional hinterlands of poems. For the purpose of this study, we represent poetic texts in higher-dimensional space using word embeddings such as Word2Vec and GloVe as reliable representations of contextual meanings. Recurrent Neural Networks (RNNs), particularly Long Short-Term Memory (LSTM) networks, have been employed to cater to the sequential nature of poems, thus recognizing complex patterns of emotions. Furthermore, we explore Transformer-based models such as BERT because of their superior power to understand context and nuances of emotion in text. The dataset was a curated collection of poems with annotations for emotions. Then, to ensure robust results, the performance of the models was evaluated in terms of accuracy, precision, recall, and F1-score. Initial results showed promising accuracy for such emotional identification techniques, emphasizing the aptitude of the proposed deep learning techniques to understand and elucidate poetry's emotional content. The offered study adds a new light on the conjunction of computational linguistics and emotional analysis, bettering the understanding of automated literary analysis. Keywords: Poetry, Emotion Analytics, Sentiment Analytics, Creative Writing, Listening AI, Natural Language Processing, Textual Analysis, Expressive AI, Mood Poetry, Emotional Intelligence, Machine Training.

Salesperson emotional intelligence at work: A resource-based perspective of subjective well-being determinants and organizational outcomes

Salesperson emotional intelligence at work: A resource-based perspective of subjective well-being determinants and organizational outcomes

Empowering Adolescents to Transform Schools: Lessons from a Behavioral Targeting

We test the effectiveness of a behavioral program grounded in the idea that status granting and self-persuasion might yield a robust behavioral change in disadvantaged adolescents. We enlist socially connected senior middle school students with high emotional intelligence as “student-teachers” and entrust them with delivering a curriculum to their junior peers. The program empowers student-teachers, leading them to improve their social environment. It reduces disciplinary incidents and antisocial behavior among student-teachers and their friendship networks. The intervention significantly enhances the likelihood of admission to selective high schools for student-teachers, offering a cost-effective way to help disadvantaged adolescents escape neighborhood disadvantages. (JEL H52, I21, I24, I28, J13, O15)

The Future of HR Education

As the business landscape rapidly evolves, the human resources (HR) field is undergoing a profound transformation, requiring strategic and innovative HR professionals to address unprecedented organizational challenges. However, traditional HR education has struggled to keep pace with the changing demands of the modern workplace. This research brief explores the future of HR education, examining key trends, emerging best practices, and the critical skills needed for HR professionals to thrive, including the integration of emerging technologies, emphasis on strategic and business-oriented thinking, and the development of interpersonal and emotional intelligence competencies. The article also discusses innovative teaching and learning approaches, such as experiential and project-based learning, technology-enabled instruction, interdisciplinary collaboration, and continuous professional development, which are shaping the future of HR education and equipping the next generation of HR leaders to drive organizational success.

EFFECTIVENESS OF SKILL TRAINING ON EMOTIONAL INTELLIGENCE AMONG B.SC. NURSING 4TH YEAR STUDENTS

Background:Emotional Intelligence has a significant place in nursing, where compassion and caring are two foundations of the profession. In order to provide compassionate care, nurses must be able to identify, use, manage and understand emotions not only in themselves but also in others. The aim of the study was to assess the emotional intelligence of nursing students and provide an intervention of emotional intelligence skill training program in order to develop emotional intelligence. Objectives: To evaluate the effectiveness of skill training on Emotional intelligence among B.sc. Nursing 4th Year students. Material and methods: Quantitative approach with time series research design was used in this study. Non-Probability Convenience sampling technique was used to collect data from B.Sc. Nursing 4th year student of SGRR College of Nursing,Dehradun,Uttarakhand. Twenty days of Skill training on Emotional Intelligence were conducted for 1 Hour daily. Data were collected by using Schutte Emotional Inteligence scale and socio demographic profile. Results: Mean age of study participants was 21.47. Results revealed that asignificant increase in the level of Emotional Intelligence with a mean difference (MD) of 15.44 and f value is 78.33 which is greater than the tabulated value of 3.00 which was found significant at p=0.001. Conclusion: This study concluded that skill training is an effective method in increasing the level of Emotional intelligence among Nursing students.It is cost effective and can be done any time.

HUBUNGAN KECERDASAN EMOSIONAL DENGAN KECERDASAN INTELEKTUAL PADA MAHASISWA PENJASKESREK

The aim of the research is to determine the relationship between emotional intelligence and intellectual intelligence in Physical Education students at the Faculty of Teacher Training and Education, Abulyatama University. The research hypothesis is that there is a relationship between emotional intelligence and intellectual intelligence in Physical Education students at the Faculty of Teacher Training and Education, Abulyatama University. Correlation research method. The population is all Penjaskesrek FKIP Abulyatama University students, while the sample taken was 38 students. Data collection techniques through questionnaires distributed via Google Form. The data analysis technique uses a correlation formula. The results of the research showed that the average value and standard deviation of emotional intelligence were 83 and 2.30 and intellectual intelligence were 3.36 and 0.22. The correlation calculation result (r) is 0.73 and the t test calculation result is 6.44. To prove the results, the t-count was 6.44 and the t-table at the 95% significance level was 1.68 (t-count = 6.44 &gt; t-table = 1.68), so the proposed research hypothesis was accepted as correct. This means that there is a relationship between emotional intelligence and intellectual intelligence in Physical Education and Physical Education students Faculty of Teacher Training and Education Abulyatama University